A machine learning framework for domain generating algorithm based malware detection

Real‐time detection of domain names that are generated using the domain generating algorithms (DGA) is a challenging cyber security challenge. Traditional malware control methods, such as blacklisting, are insufficient to handle DGA threats. In this paper, a machine learning framework for identifyin...

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Veröffentlicht in:	Security and privacy 2020-11, Vol.3 (6), p.n/a
Hauptverfasser:	G. P., Akhila, R., Gayathri, S., Keerthana, Gladston, Angelin
Format:	Artikel
Sprache:	eng
Schlagworte:	density‐based spatial clustering of applications with noise DGA gradient boosting tree J48 Jaccard‐index logistic regression machine learning malware n‐grams entropy ordering points to identify the clustering
Online-Zugang:	Volltext
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